# RtoDPQ.d: Default procedure to fill slots d,p,q given r for discrete... In distr: Object Oriented Implementation of Distributions

## Description

function to do get empirical density, cumulative distribution and quantile function from random numbers

## Usage

 `1` ```RtoDPQ.d(r, e = getdistrOption("RtoDPQ.e")) ```

## Arguments

 `r` the random number generator `e` 10^e numbers are generated, a higher number leads to a better result.

## Details

`RtoDPQ.d` generates 10^e random numbers, by default e = `RtoDPQ.e` which are used to produce a density, cdf and quantile function. Of course, the results are usually not exact as they rely on random numbers.

## Value

RtoDPQ returns a list of functions.

 `dfun ` density `pfun ` cumulative distribution function `qfun ` quantile function

## Note

Use RtoDPQ for absolutely continuous and RtoDPQ.d for discrete distributions.

## Author(s)

Thomas Stabla [email protected],
Florian Camphausen [email protected],
Peter Ruckdeschel [email protected],
Matthias Kohl [email protected]

`UnivariateDistribution-class`, `density`, `approxfun`, `ecdf`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```rn2 <- function(n){rnorm(n)^2} x <- RtoDPQ(r = rn2, e = 4, n = 512) # returns density, cumulative distribution and quantile function of # squared standard normal distribution x\$dfun(4) RtoDPQ(r = rn2, e = 5, n = 1024) # for a better result rp2 <- function(n){rpois(n, lambda = 1)^2} x <- RtoDPQ.d(r = rp2, e = 5) # returns density, cumulative distribution and quantile function of # squared Poisson distribution with parameter lambda=1 ```